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Conference Presentation, Keynote

New Operating Systems for the Physical World

  • Market Scope & Problem:

    • 80% of the global workforce operates outside traditional desk environments.
    • Software for the physical world (construction, maintenance, fleet operations) has remained stagnant for over 20 years, limited to dispatching, tracking, asset management, and billing.
    • Current operating systems are architecturally incapable of managing the convergence of three distinct worker types.
  • Emerging Workforce Triad:

    • AI Agents: Capable of quoting complex work and scheduling teams autonomously.
    • Robots: Being deployed in field operations for the first time.
    • Human Workers: Increasingly utilizing wearables to record job activities in real-time.
  • Strategic Shift in Value Proposition:

    • Incumbent Model: Charges for human coordination and visibility via dashboards.
    • New Model Focus: Manages human and robot labor as a unified entity within a single operating system.
    • Economic Leverage: Target industries spend 10 to 100 times more on labor than on software, creating a massive upgrade opportunity.
  • Key Operational Challenges & Opportunities:

    • Defining job workflows across mixed teams of agents, robots, and humans.
    • Establishing safety protocols for humans and robots working side-by-side.
    • Developing new metrics to measure system reliability in heterogeneous environments.
  • Data Moat & Forward-Looking Advantage:

    • New systems will record all work as it physically happens, creating end-to-end data capture.
    • Current frontier models, robotic startups, and software incumbents lack this specific continuous, real-world data infrastructure.
    • This data advantage is positioned to enable superior AI training and operational optimization compared to existing solutions.